by 7df-lab
Open-source, model-neutral agent desktop/runtime for private, enterprise, and OpenAI-compatible model environments. Supports DeepSeek, Qwen, Kimi, Anthropic-compatible APIs, MCP, and local code search.
# Add to your Claude Code skills
git clone https://github.com/7df-lab/devoLast scanned: 6/27/2026
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"message": "Install command (remote install script piped to a shell — review the source before running): \"curl -fsSL https://raw.githubusercontent.com/7df-lab/devo/main/install.sh | sh\"",
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"scannedAt": "2026-06-27T06:52:11.481Z",
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}devo is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by 7df-lab. Open-source, model-neutral agent desktop/runtime for private, enterprise, and OpenAI-compatible model environments. Supports DeepSeek, Qwen, Kimi, Anthropic-compatible APIs, MCP, and local code search. It has 298 GitHub stars.
Yes. devo passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/7df-lab/devo" and add it to your Claude Code skills directory (see the Installation section above).
devo is primarily written in Rust. It is open-source under 7df-lab on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh devo against similar tools.
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An open-source, model-neutral agent desktop/runtime for private, enterprise, and OpenAI-compatible model environments. Connect DeepSeek, Qwen, Kimi, Anthropic-compatible APIs, local gateways, or your own model endpoint.
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Why Devo · Features · Tested Models · Tested Platforms · Install · Quick Start · Docs
Devo is for teams that need a coding agent outside a single hosted model ecosystem. It keeps model choice, runtime behavior, and workspace execution under your control.
Devo's built-in model catalog includes tested model definitions for Qwen, Kimi, MiniMax, GLM, and DeepSeek. Provider endpoints remain configurable through provider/model bindings.
Devo has been tested on macOS, Linux, Windows, and Kylin OS.
Kylin OS coverage is called out because domestic operating systems are often part of real deployment requirements in Chinese enterprise environments. HarmonyOS support is on the roadmap; contributors with HarmonyOS devices are welcome to build, test, and publish releases for that platform.
Devo can be installed in two forms. You can install the Desktop app, the terminal-native TUI/CLI, or both on the same machine.
Start here if you want the graphical Devo experience. Download the latest Devo Desktop package from GitHub Releases, then choose the asset that matches your operating system and architecture:
devo-desktop-...-mac-... .dmg or .zip asset.devo-desktop-...-windows-... .exe asset.devo-desktop-...-linux-... .AppImage, .deb, or
.rpm asset.If macOS reports that Devo.app is damaged and cannot be opened, this is
expected. Current macOS Desktop builds are unsigned, so after installing,
run the following command so macOS can launch the app:
sudo xattr -dr com.apple.quarantine /Applications/Devo.app
Install the terminal-native devo command if you prefer the TUI, want shell
automation, or want to use Devo alongside the Desktop app.
Linux / macOS:
curl -fsSL https://raw.githubusercontent.com/7df-lab/devo/main/install.sh | sh
Windows:
irm 'https://raw.githubusercontent.com/7df-lab/devo/main/install.ps1' | iex
The online installer places devo under the Devo home directory, installs the
rg sidecar used for fast repository search, and supports optional setup for
the local model used by code_search.
Use this only if you want the Hugging Face model downloaded during installation.
Linux / macOS:
curl -fsSL https://raw.githubusercontent.com/7df-lab/devo/main/install.sh | sh -s -- --install-code-search-model
Windows:
$env:DEVO_INSTALL_CODE_SEARCH_MODEL = "1"; irm 'https://raw.githubusercontent.com/7df-lab/devo/main/install.ps1' | iex
Upgrade an existing installation to the latest release:
devo upgrade
The upgrade command runs the same platform installer, and the installer prints
the version transition, for example Version: v0.1.12 -> v0.1.15.
For air-gapped or intranet installs, see Offline Installation.
Configure a provider, open a repository, and start the TUI:
cd /path/to/your/repo
devo onboard
Useful commands:
devo # start the interactive TUI in the current repo
devo resume <session-id>
devo onboard is the recommended setup path. For manual config.toml paths,
provider/model binding fields, and custom model catalog examples, see
Configuration.
Devo is pre-1.0 and actively developed. It is ready for local evaluation, experiments, and contributor use; public APIs and configuration may still change.
Built-in model metadata currently covers Qwen, Kimi, MiniMax, GLM, and DeepSeek families. Any model endpoint that supports OpenAI-compatible Chat Completions, OpenAI-compatible Responses, or the Anthropic Messages API can be connected through provider/model bindings.
Contributions are welcome while the project is still early: